SMXs were basic silicon unit being tiled in NVidia's Kepler generation and SMMs are basically the same thing but for Maxwell. A "warp" is analogous to a hardwa

SMXs were basic silicon unit being tiled in NVidia's Kepler generation and SMMs are basically the same thing but for Maxwell. A "warp" is analogous to a hardware thread and you'd have up to 64 of those being scheduled on each SMX or SMM. Each of those SMX/SMMs has four warp schedulers which issue instructions to execution units. In an SMX the schedulers can issue to any of the 192 execution lanes but in an SMM each scheduler has it's own set of execution lanes. If we call a core anything that can independently issue instructions then I guess you'd call an SMX a core but on a SMM each warp scheduler looks like it's own core. But this is all further complicated by the fact that an instruction issued to one lane can be crossed over to a lane that's become idle due to predication. Which is maybe sort of like scheduling but not really. But yes, you can't compare "CUDA cores" to actual cores and GPUs aren't equivalent to thousands of cores. The GM204 would have 64 core equivalents and most other chips would have less.